Development of Industry 4.0 Solutions for Industrial and Service Systems

Description

This research line deals with the design of automated and flexible systems for process and manufacturing industry; the use of artificial intelligence techniques for the design, management and maintenance of industrial plants; the use of Big Data Analytics and Internet of Things tools for product traceability, inventory control and optimization of company operations. Use of simulation tools for the development of the Cyber-Physical Factory.

Analysis and prevention of Bullwhip effect

Publications

• Di Carlo, F., Mazzuto, G., Bevilacqua, M., & Ciarapica, F. E. (2021). Retrofitting a process plant in an industry 4.0 perspective for improving safety and maintenance performance. Sustainability, 13(2), 646. 10.3390/su13020646
• Alimam, H., Mazzuto, G., Tozzi, N., Ciarapica, F. E., & Bevilacqua, M. (2023). The resurrection of digital triplet: A cognitive pillar of human-machine integration at the dawn of industry 5.0. Journal of King Saud University-Computer and Information Sciences, 35(10), 101846. 10.1016/j.jksuci.2023.101846
• Ciarapica, F., Bevilacqua, M., & Antomarioni, S. (2019). An approach based on association rules and social network analysis for managing environmental risk: A case study from a process industry. Process Safety and Environmental Protection, 128, 50-64. 10.1016/j.psep.2019.05.037
• Bevilacqua, M., Ciarapica, F. E., Diamantini, C., & Potena, D. (2017). Big data analytics methodologies applied at energy management in industrial sector: A case study. International Journal of RF Technologies, 8(3), 105-122. 10.3233/RFT-171671

Staff

Prof. Maurizio Bevilacqua 
Tel. +39 071 220 4874
email: m.bevilacqua@staff.univpm.it

Prof. Filippo Emanuele Ciarapica 
Tel. +39 071 220 4435
email: f.e.ciarapica@staff.univpm.it

Prof.ssa Claudia Paciarotti 
Tel. +39 071 220 4696
email. c.paciarotti@staff.univpm.it

Prof. Giovanni Mazzuto
email. g.mazzuto@staff.univpm.it